The tyrosine phosphatase CD45 regulates lymphopenia-induced T cell proliferation (47.15)
Bibliographic record
Abstract
Abstract Lymphopenia-induced T cell proliferation (LIP) occurs naturally in neonates and in patients with depleted T cell numbers due to infection or immunosuppression. LIP occurs in response to an interaction between TCR with self-MHC as well as to cytokines such as IL-7 and IL-15. However, the precise factors that induce and limit LIP are not well understood. CD45 is a leukocyte specific tyrosine phosphatase that reduces the TCR signaling threshold in T cells, modulates TLR signaling in dendritic cells and can negatively regulate cytokine signaling in leukocytes. Given that CD45 deficient mice have severely reduced numbers of T cells in the periphery, we sought to determine whether CD45 might regulate LIP. CD45 deficient mice were crossed with the RAG1 deficient mice to generate CD45RAG deficient mice and LIP was examined in a CD45 sufficient and CD45 deficient environment. LIP was significantly reduced in the spleen and lymph nodes of lymphopenic hosts lacking CD45. This was attributed to a reduced signal to induce T cell proliferation rather than increased cell death or delayed kinetics. Reduced levels of IL-7 but not IL-15 were evident in the spleens of CD45RAG1 deficient mice and CD45 deficient splenic dendritic cells were less efficient at stimulating antigen-induced T cell proliferation. Together this suggests that dendritic cell CD45 is required for optimal LIP and experiments are ongoing to evaluate this possibility.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".